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******************************************
ABSTRACT:  In response to my post "News Reports on 'Gender 
Similarities Characterize Math Performance', " [Hake (2008)],  Diane 
Grayson of the PhysLrnR list wrote: "I am reading a very interesting 
book called 'Why Aren't More Women in Science?' edited by Stephen J. 
Ceci and Wendy M. Williams. . . . ."  I give more information on that 
valuable book as gleaned from "Gender Issues in Science/Math 
Education (GISME)" [Mallow & Hake (2008)].
******************************************

In response to my post "News Reports on 'Gender Similarities 
Characterize Math Performance', " [Hake (2008)], Diane Grayson (2008) 
wrote:

"I am reading a very interesting book called 'Why Aren't More Women 
in Science?' edited by . . . . . [psychologists]. . . .Stephen J. 
Ceci and Wendy M. Williams, and published by APA in 2007. . . .[the 
APA <http://books.apa.org/books.cfm?id=4316085> gives the publication 
date as 2006]. . . . It contains a number of essays based on 
empirical studies that address differences between male and female 
participation and performance in science originating from a variety 
of  sources, including biological and social."

An annotated reference to Ceci & Williams (2006) - see APPENDIX below 
- appears in Part 1 of Hake & Mallow (2008), along with 11 other hits 
on "Ceci."  In addition, on Ceci's homepage 
<http://www.human.cornell.edu/che/Features/bio.cfm?netid=sjc9> 
appears a reference to "A framework for explaining the 
underrepresentation of women in mathematically-intensive science" 
[Ceci et al. (in press)].

Richard Hake, Emeritus Professor of Physics, Indiana University
24245 Hatteras Street, Woodland Hills, CA 91367
Honorary Member, Curmudgeon Lodge of  Deventer, The Netherlands.
<[EMAIL PROTECTED]>
<http://www.physics.indiana.edu/~hake/>
<http://www.physics.indiana.edu/~sdi/>

". . .the important  distinction. . .[between, e.g., education and 
physics]. . . is really not between the hard and the soft sciences. 
Rather, it is between the hard and the easy sciences."
     David Berliner in "Educational research: The hardest science of 
all," Educational Researcher
       31(8): 18-20; online at <http://www.aera.net/publications/?id=438>.

REFERENCES
Ceci, S.J., W.M. Williams, & S.M. Barnett. In press. "A framework for 
explaining the underrepreentation of women in 
mathematically-intensive science," Psychological Bulletin 
<http://www.apa.org/journals/bul/description.html>.

Grayson, D. 2008. "News Reports on 'Gender Similarities Characterize 
Math Performance', " PhysLrnR post of 9 Aug 2008 15:42:44+0200; 
online at <http://tinyurl.com/5q6rlh>. To access the archives of 
PhysLnR one needs to subscribe, but that takes only a few minutes by 
clicking on <http://listserv.boisestate.edu/archives/physlrnr.html> 
and then clicking on "Join or leave the list (or change settings)." 
If you're busy, then subscribe using the "NOMAIL" option under 
"Miscellaneous." Then, as a subscriber, you may access the archives 
and/or post messages at any time, while receiving NO MAIL from the 
list!

Hake, R.R. 2005. "Cross-Posting - Synergistic or Sinful?" Post of 1 
Nov 2005 08:37:12-0800 to ITFORUM and AERA-L. Online at at 
<http://tinyurl.com/2m59v4>.

Hake, R.R. 2007. "Over Sixty Academic Discussion Lists: List 
Addresses and URL's for Archives & Search Engines," online at 
<http://www.physics.indiana.edu/~hake/ADL-L.pdf> (640 kB), or as ref. 
49 at <http://www.physics.indiana.edu/~hake>.

Hake, R.R. 2008. "News Reports on 'Gender Similarities Characterize 
Math Performance', " online as it appears on the OPEN AERA-L archives 
at <http://tinyurl.com/6kosg8>. Post of 8 Aug 2008 to AERA-C, AERA-D, 
AERA-H, AERA-J, AERA-K, AERA-L, AP-Physics, ARN-L, ASSESS, Biopi-L, 
Chemed-L, EdResMeth, EvalTalk, Math-Learn, Math-Teach, NetGold, 
Physhare, Phys-L, PhysLrnR, POD, RUME, STLHE-L (abstract only), 
TeachEdPsych, TIPS, & WBTOLL-L. For a guide to discussion lists see 
Hake (2007). For a defense of cross-posting see Hake (2005).

Hake, R.R.  & J.V. Mallow. 2008. "Gender Issues in Science/Math 
Education (GISME)": Over 700 Annotated References & 1000 URL's:
   *Part 1 - All References in Alphabetical Order
      <http://www.physics.indiana.edu/~hake/GISME-5t-Part1.pdf>  (8.5 MB);
   *Part 2 - Some References in Subject Order
       <http://www.physics.indiana.edu/~hake/GISME-5t-Part2.pdf> (4.8 MB).
Because periodic updates of GISME necessitate changing the URL's, an 
address that will always work is "Reference 55 at 
<http://www.physics.indiana.edu/~hake/>."

XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
APPENDIX - References taken from Part 1 of Hake & Mallow (2008)

Benbow, C.P. & J. Stanley. 1980. "Sex differences in mathematical 
ability: Fact or artifact?" Science 210: 1262-1264; online at 
<http://www.vanderbilt.edu/Peabody/SMPY/ScienceFactOrArtifact pdf> 
(1.1MB):

Benbow, C.P. 1988. "Sex Differences in mathematical reasoning ability 
in intellectually talented preadolescents: Their nature, effects, and 
possible causes," Behavioral and Brain Sciences, 11:169-232; online 
at <http://www.vanderbilt.edu/Peabody/SMPY/BBSBenbow.pdf> (33 MB). 
Benbow's 15-page article, pp. 169-183, is followed by (a) 35 pages of 
"Open Peer Commentary," pp. 183-217; (b) 9 pages of Benbow's 
response, pp. 217-225; and (c) 8 pages of References, pp. 225-232.

*************************************************
Ceci, S.J. & W.M. Williams, eds. 2006. "Why Aren't More Women in 
Science?: Top Researchers Debate the Evidence" American Psychological 
Association (APA), publisher's information, including the Table of 
Contents, is at
<http://books.apa.org/books.cfm?id=4316085>. For an interview with 
Wendy Williams regarding this book see Phillips (2008). The APA wrote:

"Why aren't more women pursuing careers in science, engineering, and 
math? Is the lack of women inthese fields a consequence of societal 
discouragements, innate differences in ability between the sexes,or 
differences in aspirations? These questions always spark a host of 
other questions-and a multiplicity of answers-all of which have 
important implications for gender equality and for retaining the 
nation's competitiveness in the technological marketplace.

The most reliable and current knowledge about women's participation 
in science is presented in this collection of fifteen essays written 
by top researchers on gender differences in ability. The essayists 
were chosen to reflect the diversity and complexity of views on the 
topic, about which knowledge has been accumulating and evolving for 
decades. The editors provide an introduction that defines the key 
issues and embeds them in historical context and a conclusion that 
synthesizes and integrates the disparate views. Written accessibly to 
appeal to students and non-specialists as well as psychologists and 
other social scientists, the contributors reframe this key 
controversy and challenge readers' emotional and political biases 
through solid empirical science."

For reviews see "Women in STEM Careers" [Reilly (2007b)] and "Women 
In Science: Can Evidence Inform the Debate?" [Linn (2007)]. See also 
"Women in Academe, and the Men Who  Derail Them" [Williams (2002)].
*************************************************

Kimura, D. 2007. "Under-representation" or Misrepresentation?" in 
Ceci & Williams
(2007); online at 
<http://www.sfu.ca/~dkimura/articles/Ceci%20Essay.htm>. Kimura wrote:
"The Scholastic Aptitude Test- Mathematics (SAT-Math) has 
consistently over several decades
yielded an advantage in High School age males. The participants 
selected for Benbow's (1988) studies of mathematically precocious 
youth (SMPY) have consistently shown a greater number of males. Even 
within this select group of boys and girls the average scores of boys 
are higher. The ratio of boys to girls at the high end of the 
distribution of scores is about ten to one. . . . .[our insert - 
according to Monastersky (2005), the ratio in 2005 was 2.8 to 1]. . . 
. In the Putnam competition, open to all undergraduates in North 
America, what data we have suggests a huge preponderance of males who 
get the higher scores, even correcting for the larger numbers of male 
applicants. To date, all the recipients of the Fields medal, a 
prestigious award in mathematics, have been men."

Linn, M. 2007. "Women In Science: Can Evidence Inform the Debate?" 
Science 317(5835): 199 - 200, 13 July, review of Ceci & Williams 
(2006); online at <http://tinyurl.com/4fltw3>. Linn wrote:
"The chapter by David Lubinski and Camilla Benbow [LUBINSKI & BENBOW 
(2006) - here and below, our CAPITALIZED references] is one of 
several that mentions the 1980s talent search by Benbow and Julian 
Stanley. . . .[BENBOW & STANLEY (1982)]. . . . ., in which they 
recruited students under 14 to take the SAT and found that for scores 
over 700 (two standard deviations above the mean), the ratio was 13 
boys to 1 girl. By 1997, the ratio had dropped to about 4 to 1 
[STANLEY (1997)] -it has recently fallen further to 2.8 to 1 
[MONASTERSKY (2005)]. These large differences motivate some 
contributors to criticize others for ignoring the evidence for males' 
superior abilities in science. In the most dramatic statement, Doreen 
[KIMURA (2006)] argues that giving special scholarships or grants 
exclusively to women "bribes them to enter fields they may neither 
excel in nor enjoy."

Lubinski, D.S. & C. Benbow. 2006. "Sex Differences in Personal 
Attributes for the Development of Scientific Expertise," in Ceci & 
Williams (2006).

Monastersky, R. 2005. "Women and Science: The Debate Goes On: Primed 
for Numbers - Are boys better at math? Experts try to divide the 
influences of nature and nurture." Chronicle of Higher Education 
51(26): A1, 4 March; online at 
<http://chronicle.com/free/v51/i26/26a00102.htm>. Monastersky writes:
"Data from [Julian Stanley's] program, at Johns Hopkins, shows just 
how strong the cultural factors are in determining math achievement. 
In the early 1980s, he and [Camilla Benbow] reported. . . [Benbow & 
Stanley (1980)]. . . . a whopping disparity in the numbers of 
mathematically gifted boys and girls who scored 700 on the math 
section of the SAT at the age of 13, a distinction achieved by one in 
10,000 students. A quarter-century ago, there were 13 boys for every 
girl at that level. NOW THE RATIO IS ONLY 2.8 TO 1, A PRECIPITOUS 
DROP THAT HAS NOT BEEN REPORTED IN THE NEWS MEDIA. [Our CAPS.] 'It's 
gone way down as women have had an opportunity to take their math 
earlier,' says Mr. Stanley."

Phillips, A.L. 2008. Interview with Wendy M. Williams regarding Ceci 
& Williams (2006).
American Scientist Online 
<http://www.americanscientist.org/bookshelf/pub/an-interview-with-wendy-m-williams>
 
:
" 'Why aren't more women in science?' This question, which serves as 
the title of a new book edited by Stephen J. Ceci and Wendy M. 
Williams, has inspired intense debate in the media and among 
scientists and the general public. Responses range from the polemical 
to the well-considered; Williams and Ceci hope to refocus the debate 
with evidence-based ideas. In their new book, subtitled Top 
Researchers Debate the Evidence, they present essays from 
contributors including Simon Baron- Cohen, Janet Shibley Hyde, Doreen 
Kimura and Elizabeth S. Spelke, among others. The result is a 
thought-provoking, challenging collection that covers topics ranging 
from neural substrates for sex differences in cognition to cultural 
bias against women and other sociocultural forces. The book won a 
bronze medal in the 2007 IPPY (Independent Publisher) Book Awards." 
See also "Women in Academe, and the Men Who Derail Them" [Williams 
(2002)].

Reilly, M. 2007b. "Women in STEM Careers" [Review of Byers & Williams 
(2006), Marzabadi et al. (2006), & Ceci & Williams (2006)], AWIS 
Magazine, Spring, online at
<http://www.awis.org/pubs/documents/AWISmagSpring2007.pdf> (2.8 MB), 
scroll to page 45.

Stanley, J.C. 1997. "Amazing academic achievement, "Johns Hopkins 
Magazine 49(4): 6, September; online at 
<http://www.jhu.edu/~jhumag/0997web/letters.html>. Stanley wrote:
"The facts are as follows: in 1981 there were 28 boys and no girls 
who in SMPY's annual search
scored 700 or more on SAT-M before age 13. That was a low year, 
however. In 1980 there had been 15 boys and 5 girls. The usual 
male-to-female ratio at that score level nowadays is about 4 to 1. 
During the early 1980s it was 12 to 1, so girls appear to be doing 
increasingly better compared with boys -- but have not nearly caught 
up with them yet."

Williams, W.M. 2002. "Women in Academe, and the Men Who Derail Them," 
STATUS, January, online at 
<http://www.aas.org/cswa/status/statusJan02c.pdf> (1.2 MB), scroll to 
page 10.
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